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A framework for supporting generativ...
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Sun, Jian.
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A framework for supporting generative product design using genetic algorithms.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A framework for supporting generative product design using genetic algorithms./
作者:
Sun, Jian.
面頁冊數:
182 p.
附註:
Source: Dissertation Abstracts International, Volume: 63-10, Section: A, page: 3401.
Contained By:
Dissertation Abstracts International63-10A.
標題:
Design and Decorative Arts. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3066677
ISBN:
0493860525
A framework for supporting generative product design using genetic algorithms.
Sun, Jian.
A framework for supporting generative product design using genetic algorithms.
- 182 p.
Source: Dissertation Abstracts International, Volume: 63-10, Section: A, page: 3401.
Thesis (Ph.D.)--Hong Kong Polytechnic (People's Republic of China), 2002.
This thesis investigates the application of generative and evolutionary techniques in computer aided product design. It aims at creating a computer model of a generative evolutionary product design process for conceptual design. This aim is achieved by enhancing the creativity role of designers through the application of genetic algorithms in a computer-based support system.
ISBN: 0493860525Subjects--Topical Terms:
1024640
Design and Decorative Arts.
A framework for supporting generative product design using genetic algorithms.
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Source: Dissertation Abstracts International, Volume: 63-10, Section: A, page: 3401.
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Advisers: John H. Frazer; MingXi Tang.
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Thesis (Ph.D.)--Hong Kong Polytechnic (People's Republic of China), 2002.
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This thesis investigates the application of generative and evolutionary techniques in computer aided product design. It aims at creating a computer model of a generative evolutionary product design process for conceptual design. This aim is achieved by enhancing the creativity role of designers through the application of genetic algorithms in a computer-based support system.
520
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The development of a computer model of a generative and evolutionary design, and the implementation of a prototype system to support designers at the conceptual design stage using this model are the main focuses of this research. A number of significant issues are addressed through the implementation of a generative and evolutionary system in the domain of product design.
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First, two cyclically linked stages are identified in the design process as formative construction and design development. Genetic algorithms are used to support designers at these two stages for the exploration of design solutions. New data structures termed Rudiment and Formative are introduced to represent design information and knowledge that can be selected and manipulated by designers.
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Second, a prototype system is implemented to test the effectiveness of the data structures and the genetic algorithms used. This system has a database of rudiments, an interface for building the formatives, and a support program employing genetic algorithms to support designers in the exploration and evaluation of a large number of design solutions in an interactive manner. The system is integrated with a commercial CAD system for 3D visualisation.
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Third, computational methods and representations are worked out to apply genetic algorithms to product design in this generative and evolutionary model. This includes a hierarchical representation of functional components of products that can be associated with and manipulated by genetic algorithms. Also, multi-objective evaluation and selection are investigated to allow users to specify initial design requirements in terms of Design for Manufacturing (DFM) considerations and constraints. The integration of DFM constraints into the database and the evaluation step of the genetic algorithm provided insights on how general DFM issues can be incorporated at the initial stages of conceptual design. The purpose is to produce products configured with such components and in such a way that, when detail design occurs, easily manufacturable parts can be realised.
520
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In this thesis, consumer product design has been selected as an example domain for the implementation and evaluation of the computational model and the system. Testing examples with mobile phones, remote controllers and handheld products are provided in the thesis. The system developed in this thesis has shown a capability in generating a wide range of solutions based on initial design requirements specified by designers, with the support of genetic algorithms and the knowledge formulated as the concepts of the rudiments and formatives.
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Finally, the limitations of the approach, and the way in which the developed system can be further improved are discussed.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3066677
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